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Presentation: Running AI at the Edge: Running Real Workloads Directly in the Browser

James Hall discusses the strategic and technical imperative of moving AI workloads from cloud providers to local edge devices. He shares practical a…

Web BrowserQCon London 2026PrivacyEdge ComputingGPUAI SecurityCloud ComputingWeb DevelopmentTranscriptsLocal InferenceMachine LearningDevelopmentArchitecture & DesignAI, ML & Data Engineeringpresentation
InfoQ Aug 31, 2026, 11:00 UTC
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Meta Open-Sources Muse Glimmer: A 30B Local Agentic Model Optimised for On-Device Execution

Meta AI Research has introduced Muse Glimmer, a 30-billion-parameter open-weight model under the Apache 2.0 license, designed for local workflows. I…

AI ArchitectureLarge language modelsFoundation ModelLocal InferenceAI, ML & Data Engineeringnews
InfoQ Aug 14, 2026, 05:05 UTC

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